Performance comparison of perceived image color difference measures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00326209" target="_blank" >RIV/68407700:21230/18:00326209 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1117/12.2321644" target="_blank" >https://doi.org/10.1117/12.2321644</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2321644" target="_blank" >10.1117/12.2321644</a>
Alternative languages
Result language
angličtina
Original language name
Performance comparison of perceived image color difference measures
Original language description
This paper deals with techniques for analysis of perceived color differences in images. Impact of color artifacts in image processing chain is a critical factor in the assessment of overall Quality of Experience (QoE). At first, an overview of color difference measures is presented. The performance of the methods is compared based on the results from subjective studies. Possible utilization of publicly available datasets with associated subjective scores is discussed. Majority of the datasets contain images distorted by various types of distortions not necessarily with controlled color impairments. Dedicated database of images with common color distortions and associated subjective scores is introduced. Performance evaluation and comparison of objective image color difference measures is presented using conventional correlation performance measures and robust receiver operating characteristic (ROC) based analyses.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/GA17-05840S" target="_blank" >GA17-05840S: Multicriteria Optimization of Shift-Variant Imaging System Models</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings Volume 10752 - Applications of Digital Image Processing XLI
ISBN
9781510620759
ISSN
0277-786X
e-ISSN
1996-756X
Number of pages
18
Pages from-to
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Publisher name
SPIE
Place of publication
Bellingham
Event location
San Diego
Event date
Aug 19, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000450861700095